AMP Lab: Amplifying Movement & Performance

Past Projects

The AMP Lab has support numerous projects boosting the potential to augment ability, movement, and performance across a breadth of rehabilitative contexts. Check out the project pages below to learn more!


Diagram of how the mechanism works on the side of a knee brace to externally apply a force to the side of the knee.

Active Knee Braces For Knee Osteoarthritis
TEAM: Anderson, Reinsdorf
(DEPARTMENT: ME)

Two landscapes (red and blue) showing convergence with nash equilibrium and adaptive control.

Cooperative and Competitive Sensorimotor Learning
TEAM:  Chasnov, Parsa
(DEPARTMENT: ECE)

A cartoon showing a person wearing a VR step and viewing themself going down a set of virtual stairs.

Stair Rehabilitation
TEAM:  Koh, Rokhmanova, Spomer, Van Devanter
(DEPARTMENTS: ECE, ME, Rehab)

Example of what the prosthesis looks like in the virtual environment with an outline of a hand and in the experimental video.

VR Prosthesis Training
TEAM: Boe, Sie, Yamagami
(DEPARTMENT: ME)

Using a black stylus to guide it to a point on a device for surgery.

VR Surgery Tracking
TEAM:  Wang, Ye
(DEPARTMENT: ECE)

Qualysis mocap data with green dots showing person walking over force plates.

Building Normative Databases + Lower Limb Muscle Synergies
Team: Howell, Peters, Shuman
(Departments: ME, ECE)

A virtual arm with colored blocks on the forearm showing where EMG sensors are placed.

Haptic Biofeedback for Myoelectric Training
Team: Alothman, Boe, Kalavakonda
(Departments: ECE, Rehab)

Change in variance is a substantial reduction over the gait phase for kinematics.

Predictive Tools for Walking with Ankle Foot Orthoses
TEAM: BANJANIN, ROSENBERG
(Departments: ME, ECE)

Simple game board with a dot between two orange areas.

Quantifying HCPS Interactions
Team: Beckwith, Howell, Yamagami
(DEPartments: ME, ECE)


Support Us!

Much of our collaborative and interdisciplinary work is supported by private donations. These funds are critical to help us start new projects, collect pilot data, and give students the opportunity to participate in interdisciplinary project teams.